Globalization introduces a high diversity of customer expectations and incertitude for the future of companies. Indeed, the level of labor cost in Europe imposes to European companies to improve their performance in terms of cost, quality, lead time but also on social, societal and environmental aspects, as much as innovation, and integration of new technologies (blockchain, Internet of things, cobots, robots etc.). Thus, Industry 4.0 concepts could be implemented in companies by integrating technologies (machines, AGVs, robots, cobots) and using new tools such as IoT, RFID and decision aided tool (based on Artificial Intelligence concepts). The definition of the industry of the future also needs to integrate social, societal and environmental aspects for taking into account the particular context of the company being transformed. This paper focuses on problems due to cobots implementation in a manufacturing system, such collaboration with people in the elaboration of a product. Beyond, the problem of safety, that could be studied in detail, many other challenges have to be raised. For instance, the problems of flexibility due to product diversity and versatility of customer demands or pieces recognition transfer in a pick and place electronics process, have to be solved. This paper presents concepts, methods and structure for developing a decision aided tool (robotic programming support system) using various technologies (tool, IoT, Vision) for increasing the cobot level of success in the pick and place operation. A detailed illustration example will be presented to validate the elaborated concepts. Perspectives will explain this research next steps.
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